This is a network for text recognition scenario. It consists of VGG16-like backbone and bidirectional LSTM encoder-decoder. The network is able to recognize school marks that should have format either
|Accuracy (internal test set)||98.83%|
|Text location requirements||Tight aligned crop|
Shape: [1x1x32x64] - An input image in the format [BxCxHxW], where:
Note that the source image should be tight aligned crop with detected text converted to grayscale.
The net outputs a blob with the shape [16, 1, 13] in the format [WxBxL], where:
"0123456789._#", where # - special blank character for CTC decoding algorithm and the character `'_'` replaces all non-numeric symbols.
The network output can be decoded by CTC Greedy Decoder or CTC Beam Search decoder.